This opportunity is based in Lausanne

UWB Tracking System for Elderly People Monitoring (Internship/ Diploma Thesis)

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Description  

With the world population aging at a fast rate, ambient assisted living systems focused on elderly people gather more attention. Human activity recognition (HAR) is a component connected to those systems, as it allows identification of the actions performed and their utilization on behavioural analysis. We propose in the context of this internship to build a non-intrusive solution,  based on UWB, to monitor old people motion and detect possible anomalous situations, which could be a sign of the next onset of chronic illness or initial physical and cognitive decline..

In this role

The objectives of this internship include:

  • Take the ownership on our existing digital health IoT platform
  • Develop and deploy acquisition modules for UWB systems. Modules are deployed to an on-premise gateway (e.g. raspberry)
  • Extend the platform to implement UWB sensors management and data pre-processing
  • Build models to detect and notify deviation in the evolution of people behavior
  • Extend the platform with business apps to interact with care staff, e.g. visualization of movements and alerting.

What we offer

Join our team as intern and you will find a young, dynamic and culturally diverse working environment.

About your profile

knowledge / skills required  

  • Software development : Python
  • Machine learning, MLOps
  • Interest for distributed systems and Linux based boards..

If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
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About ELCA

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